Agentic RAG Mastery Skill

This is the high-quality, no-BS skill for turning basic "stuff documents in vector DB and pray" into ruthless, reasoning AI agents that know when (and when NOT) to retrieve, critique their own bullshit, and deliver grounded answers.

I devoured every top-tier source: LangChain's Advanced RAG + Agents Cookbook (the production bible), GiovanniPasq's modular LangGraph agentic-rag-for-dummies (cleanest starter), NirDiamant's Controllable-RAG-Agent and RAG_Techniques (god-tier critique loops and deterministic graphs), LlamaIndex agent workflows, RAGFlow's agentic engine, Microsoft ai-agents-for-beginners agentic lesson, and the X fire from @LangChain on cookbooks. No mid-tier tutorials. Only the stuff that actually ships in 2026.

Core Philosophy (Steal This Mindset)

Vanilla RAG is a one-trick pony: embed → retrieve top-k → stuff context → generate. It dies on:

• Irrelevant retrieval poisoning the LLM
• No planning for multi-hop questions
• No self-awareness ("Is this answer actually supported?")
• Brittle on evolving knowledge or ambiguous queries